LayerNorm/beta not found in checkpoint

[threefoldo]

I tried with several pretrained models, including: google-bert-base-en, google-albert-base-en, pai-albert-base-en, they all have the same kind of error:

Key bert_pre_trained_model/bert/encoder/layer_10/attention/output/LayerNorm/beta not found in checkpoint
        [[node save/RestoreV2 (defined at /home/jinzy/.conda/envs/et/lib/python3.6/site-packages/easytransfer/engines/model.py:658)  = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_INT64], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

[threefoldo]

After empty the 'checkpointDir', it can train without errors. It seems like that every time I changed the pretrained model, the checkpointDir should be emptied, otherwise it will report this error.